Support Executive

As a Senior Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability.

Must have skills:

● Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar Agentic AI frameworks.

● Python: Good exposure to Python (Pandas, NumPy, FastAPI, advanced Python concepts).

● AWS Bedrock: Hands-on experience with AWS Bedrock and foundation models such as Claude Haiku and Claude Sonnet.

● LLM & GenAI: Hands-on experience in developing RAG pipelines, Prompt Engineering, and LLM-based GenAI applications.

● ML Pipeline Architecture: Experience with Titan Embeddings, Amazon OpenSearch Vector Search, and vector-based retrieval.

● Agentic AI: Hands-on experience with Agentic AI frameworks and AWS Bedrock AgentCore for developing AI agents and workflow orchestration.

● AI Agents & Knowledge Base: Experience developing AI agents for customer query automation and Knowledge Base (KB) solutions.

● Experience with document parsing, chunking, vectorizing and re-ranking strategies.

● Guardrails & Security: Experience configuring AWS Bedrock Guardrails and implementing authentication and authorization for secure AI applications.

● AWS Services: Hands-on experience with API Gateway, Lambda, S3, IAM, CloudWatch, ECR, and SageMaker.

● Software Engineering: Experience with Git, REST APIs, and CI/CD pipelines.

● Relevant AWS certifications (e.g., AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer – Associate, or AWS Certified Solutions Architect – Associate) are a plus.

Good to have skills:

● Hands-on experience with OCR/Document Intelligence engines and NLP techniques for extracting structured information from documents and images.

● Hands-on experience with Bedrock Agentcore

● Hands-on experience with OpenAI, Anthropic, Gemini, or other foundation models.

● Experience with Docker, Kubernetes, and MLOps practices.

● Experience with Redshift, SQL, DynamoDB, or AWS Glue.

● Exposure to model monitoring, evaluation, and observability for GenAI applications.

● Ability to work in an Agile and DevOps environment.

We are looking for a highly motivated Programmatic SEO professional

to build and scale organic growth through automation, AI, and data-driven SEO strategies. The ideal candidate should have

hands-on experience creating large-scale landing pages, implementing technical SEO best

practices, and leveraging AI to automate content generation while maintaining quality and search

performance.

Key Responsibilities

• Develop and execute scalable Programmatic SEO strategies.

• Build automated landing pages using structured data, templates, APIs, and dynamic content.

• Conduct keyword research and identify high-growth opportunities.

• Lead Technical SEO including crawl optimisation, indexing, schema markup, internal linking, XML

sitemaps, canonical tags, and Core Web Vitals.

• Design AI-powered content workflows for unique, search-optimised content.

• Collaborate with developers to automate SEO processes and improve website performance.

• Monitor rankings, traffic, indexing health, and conversions.

• Stay updated with Google algorithm changes, AI search trends, and SEO best practices.

Required Skills

• Strong expertise in Programmatic SEO, Technical SEO, and On-Page SEO.

• Experience with large-scale websites and dynamic page generation.

• Understanding of HTML, CSS, JavaScript, APIs, databases, and automation workflows.

• Familiarity with AI-assisted content creation and prompt engineering.

• Experience using SEO, analytics, crawling, and keyword research tools.

• Basic knowledge of SQL or Python is an advantage.

Preferred Qualifications

• 3–7 years of SEO experience with Programmatic SEO projects.

• Experience in high-growth digital businesses, marketplaces, e-commerce, or travel platforms.

• Strong analytical and problem-solving skills with the ability to work across teams.

Success Metrics

• Increase organic traffic and keyword visibility.

• Improve indexation and technical SEO health.

• Launch scalable SEO page templates and automation workflows.

• Drive measurable growth in qualified leads or online conversions through organic search.

ROLE & RESPONSIBILITIES:

We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.

KEY RESPONSIBILITIES:

1.     Cloud Security (AWS)-

• Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
• Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
• Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
• Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
• Ensure encryption of data at rest/in transit across all cloud services.

2.     DevOps Security (IaC, CI/CD, Kubernetes, Linux)-

Infrastructure as Code & Automation Security:

• Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
• Enforce misconfiguration scanning and automated remediation.

CI/CD Security:

• Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
• Implement secure build, artifact signing, and deployment workflows.

Containers & Kubernetes:

• Harden Docker images, private registries, runtime policies.
• Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
• Apply CIS Benchmarks for Kubernetes and Linux.

Monitoring & Reliability:

• Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
• Ensure audit logging across cloud/platform layers.

3.     MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-

Pipeline & Workflow Security:

• Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
• Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.

ML Platform Security:

• Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
• Control model access, artifact protection, model registry security, and ML metadata integrity.

Data Security:

• Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
• Enforce data versioning security, lineage tracking, PII protection, and access governance.

ML Observability:

• Implement drift detection (data drift/model drift), feature monitoring, audit logging.
• Integrate ML monitoring with Grafana/Prometheus/CloudWatch.

4.     Network & Endpoint Security-

• Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
• Conduct vulnerability assessments, penetration test coordination, and network segmentation.
• Secure remote workforce connectivity and internal office networks.

5.     Threat Detection, Incident Response & Compliance-

• Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
• Build security alerts, automated threat detection, and incident workflows.
• Lead incident containment, forensics, RCA, and remediation.
• Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
• Maintain security policies, procedures, RRPs (Runbooks), and audits.

IDEAL CANDIDATE:

• 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
• Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
• Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
• Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
• Strong Linux security (CIS hardening, auditing, intrusion detection).
• Proficiency in Python, Bash, and automation/scripting.
• Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
• Understanding of microservices, API security, serverless security.
• Strong understanding of vulnerability management, penetration testing practices, and remediation plans.

EDUCATION:

• Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
• Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

Job Description 

● Provide comprehensive product solutions over calls from initiating the call till the closure.

● Generate revenue by counselling prospects and converting them to sales.

● Counselling students and helping them understand to choose the programmes offered at Maven Silicon.

● Meet weekly, monthly, and annual sales and activity quotas

● Generate leads and commit to customer service by building relationships.

Desired Candidate Profile

● Proven track record of sales target achievements

● Excellent communication skill in English.

● Consultative Sales Skills and Convincing skills.

● Good in Excel & preparing MIS reports. Experience with CRM would be preferred.

● Experience in Counselling/Tele Sales/Inside Sales in training companies or educational institutes.

About Gyaan:

Gyaan empowers Go-To-Market teams to ascend to new heights in their sales performance, unlocking boundless opportunities for growth. We're passionate about helping sales teams excel beyond expectations. Our pride lies in assembling an unparalleled team and crafting a crucial solution that becomes an indispensable tool for our users. With Gyaan, sales excellence becomes an attainable reality.

About the Job:

Gyaan is looking for a Senior React JS developer to join our dynamic team! As a Senior React JS developer, you will be responsible for building components and modules using React and associated tooling (Redux, React-query, Indexed-DB, Material-UI). Team management and Mentoring experience is required.

Responsibilities:

• Build components and modules using React.
• Building the core front-end infrastructure, design systems, and libraries.
• Convert Figma designs into reusable front-end components.
• Translation of designs and wireframes into high-quality code.
• Collaborate closely with designers, engineers, founders, and product managers.
• Take ownership of products and features & releases, Should be able to mentor junior developers, Code reviews, Feature Review & Allocation of tasks.

Must-Have Skills:

• 4-6 years of production experience with React JS and associated tooling (Redux, React-query, Indexed-db, Material-UI)
• 3+ years of Typescript experience, including asynchronous programming, closures, types, and ES6/ES7.
• Thorough understanding of React.js and its core principles, including virtual DOM, data binding, State & Props and React Lifecycle and Redux.
• Experience with front-end technologies such as HTML5, JSS, CSS etc.
• Experience consuming and transforming internal and 3rd party API's using REST
• Experience with code quality and reusability practices (eslint, prettier, CI/CD for front-end repos)
• Knowledge of cross-browser compatibilities, responsiveness, and web accessibility standards.
• Good experience of Front-end/React best practices, code reviews, design documentation, debugging, troubleshooting, and agile development
• Communication: You like discussing a plan upfront, welcome collaboration, and are an excellent verbal and written communicator.
• Good to have If you have implemented complex features like authentication/authorization, I18N, logging, security, and testing into developer boilerplates to minimize production errors.

Qualifications:

• Bachelor’s degree in Computer Science or equivalent experience.

If you are passionate about solving problems and have the required qualifications, we want to hear from you! You must be an excellent verbal and written communicator, enjoy collaborating with others, and welcome discussing a plan upfront. We offer a competitive salary, flexible work hours, and a dynamic work environment.

Apply now and join our team of skilled professionals!

If this role interests you, kindly apply on below link & also review JD & company details:

https://gyaan.keka.com/careers/jobdetails/17678

•  5 to 10 years of work experience as a .net developer

•  Proficiency in building web-based applications

•  In-depth knowledge of the .net languages and database - asp.net web API, c# - asp.net MVC - SQL

•  In-depth knowledge angularjs, service stack

•  Familiarity with identity (3rd party)

•  Proficiency using git version control.

•  Familiarity with agile environments

•  Troubleshooting abilities

•  Good communication skills

•  "Azure web app, azure storage "analyze system requirements and prioritize tasks

•  Write clean, testable code using .net programming languages

•  Develop technical specifications and architecture

•  Test and debug various .net applications

•  Review and refactor code

•  Deploy fully functional applications

•  Upgrade existing programs

•  Document development and operational procedures

Responsibilities:

• Build next-generation web applications which are efficient, reusable front-end abstractions and systems.
• Work closely with designers to implement versatile front-end solutions while embracing emerging standards and pushing the limits of what a browser can do.
• Actively participate in design and code reviews to build robust applications and prototypes.

Requirements:

• A deep expertise in Javascript.
• Looking for people with Mean STACK experience that includes: Node JS, Mongo DB, Angular JS, Bootstrap, Express, React JS.
• The above needs to be coupled with Javascript, HTML, CSS.
• Constantly and consistently implementing new features and optimise existing ones from controller- level to UI.
• Vigilantly and rapidly fix bugs.
• Continuously solving problems to give our customers a delightful shopping experience.
• Work closely with Team Lead, UX designers and back-end engineers to implement front end solutions.
• Endorsing upcoming standards, launching, iterating and making a difference.
• Passionate about implementing elegant User Interfaces using HTML and CSS.
• Ability to write well-abstracted, reusable, highly performant code for UI components.

1. Www.poctservices.com